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Of trolleys and self-driving cars: What machine ethicists can and cannot learn from trolleyology

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  • Königs, Peter

Abstract

Crashes involving self-driving cars at least superficially resemble trolley dilemmas. This article discusses what lessons machine ethicists working on the ethics of self-driving cars can learn from trolleyology. The article proceeds by providing an account of the trolley problem as a paradox and by distinguishing two types of solutions to the trolley problem. According to an optimistic solution, our case intuitions about trolley dilemmas are responding to morally relevant differences. The pessimistic solution denies that this is the case. An optimistic solution would yield first-order moral insights for the ethics of self-driving cars, but such a solution is difficult to come by. More plausible is the pessimistic solution, and it teaches us a methodological lesson. The lesson is that machine ethicists should discount case intuitions and instead rely on intuitions and judgments at a higher level of generality.

Suggested Citation

  • Königs, Peter, 2023. "Of trolleys and self-driving cars: What machine ethicists can and cannot learn from trolleyology," Utilitas, Cambridge University Press, vol. 35(1), pages 70-87, March.
  • Handle: RePEc:cup:utilit:v:35:y:2023:i:1:p:70-87_5
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